rocket-propulsion
Comprehensive skill for rocket engine design and performance analysis
Best use case
rocket-propulsion is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Comprehensive skill for rocket engine design and performance analysis
Teams using rocket-propulsion should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/rocket-propulsion/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How rocket-propulsion Compares
| Feature / Agent | rocket-propulsion | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Comprehensive skill for rocket engine design and performance analysis
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Rocket Propulsion Analysis Skill ## Purpose Enable comprehensive rocket engine design and performance analysis including combustion analysis, nozzle design, and propellant optimization. ## Capabilities - CEA combustion analysis integration - Nozzle design and optimization (bell, aerospike) - Propellant selection and performance comparison - Chamber pressure and mixture ratio optimization - Regenerative cooling analysis - Injector design considerations - Thrust vectoring system analysis - Rocket Propulsion Analysis (RPA) integration ## Usage Guidelines - Use CEA for accurate combustion product calculations - Optimize mixture ratio for specific impulse or thrust requirements - Consider thermal management in chamber and nozzle design - Account for real gas effects at high pressures - Validate designs against empirical correlations and test data - Document propellant properties and compatibility considerations ## Dependencies - CEA (Chemical Equilibrium with Applications) - RPA (Rocket Propulsion Analysis) - MATLAB ## Process Integration - AE-005: Rocket Propulsion Design
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Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
babysitter
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
yolo
Run Babysitter autonomously with minimal manual interruption.
user-install
Install the user-level Babysitter Codex setup.
team-install
Install the team-pinned Babysitter Codex workspace setup.
retrospect
Summarize or retrospect on a completed Babysitter run.
resume
Resume an existing Babysitter run from Codex.
project-install
Install the Babysitter Codex workspace integration into the current project.
plan
Plan a Babysitter workflow without executing the run.
observe
Observe, inspect, or monitor a Babysitter run.
model
Inspect or change Babysitter model-routing policy by phase.